We tackle the nowcasting problem at the regional level using a large set of indicators (regional, national and … forecasting accuracy. Among the 10% best performing models for the short forecasting horizon, one fourth contain regional …

We tackle the nowcasting problem at the regional level using a large set of indicators (regional, national and … forecasting accuracy. Among the 10% best performing models for the short forecasting horizon, one fourth contain regional …

We tackle the nowcasting problem at the regional level using a large set of indicators (regional, national and … forecasting accuracy. Among the 10% best performing models for the short forecasting horizon, one fourth contain regional …

indicators play a crucial role for forecasting regional GDP. Keywords: regional forecasting, forecast combination, factor models …

This paper applies component-wise boosting to the topic of regional economic forecasting. Component-wise boosting is a … pre-selection algorithm of indicators for forecasting. By using unique quarterly real gross domestic product data for two … economic forecasting. We additionally take a closer look into the algorithm and ask which indicators get selected. All in all …

This paper looks into the ’fine print’ of boosting for economic forecasting. By using German industrial production for … selected by the boosting algorithm over time and four different forecasting horizons. It turns out that a number of hard … therefore important to forecasting the performance of the German economy. However, there are indicators such as money supply …

indicators play a crucial role for forecasting regional GDP. …

economic development and their forecasting. …